US accident data 2016-2020 cleaned

Dataset statistics

Number of variables	18
Number of observations	2651861
Missing cells	2152547
Missing cells (%)	4.5%
Duplicate rows	2452
Duplicate rows (%)	0.1%
Total size in memory	364.2 MiB
Average record size in memory	144.0 B

Variable types

Numeric	10
Categorical	8

Warnings

Dataset has 2452 (0.1%) duplicate rows	Duplicates
`Start_Time` has a high cardinality: 2582957 distinct values	High cardinality
`End_Time` has a high cardinality: 2578441 distinct values	High cardinality
`Weather_Condition` has a high cardinality: 121 distinct values	High cardinality
`Temperature(F)` has 45294 (1.7%) missing values	Missing
`Humidity(%)` has 48306 (1.8%) missing values	Missing
`Pressure(in)` has 38857 (1.5%) missing values	Missing
`Visibility(mi)` has 53002 (2.0%) missing values	Missing
`Wind_Direction` has 40241 (1.5%) missing values	Missing
`Wind_Speed(mph)` has 344548 (13.0%) missing values	Missing
`Precipitation(in)` has 1529311 (57.7%) missing values	Missing
`Weather_Condition` has 52931 (2.0%) missing values	Missing
`Distance(mi)` is highly skewed (γ1 = 37.62493565)	Skewed
`Precipitation(in)` is highly skewed (γ1 = 49.31946349)	Skewed
`Start_Time` is uniformly distributed	Uniform
`End_Time` is uniformly distributed	Uniform
`Distance(mi)` has 2215378 (83.5%) zeros	Zeros
`Wind_Speed(mph)` has 164999 (6.2%) zeros	Zeros
`Precipitation(in)` has 937421 (35.3%) zeros	Zeros

Reproduction

Analysis started	2021-05-02 17:00:37.590588
Analysis finished	2021-05-02 17:08:42.934028
Duration	8 minutes and 5.34 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

TMC
Real number (ℝ_≥0)

Distinct	21
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	208.2827052
Minimum	200
Maximum	406
Zeros	0
Zeros (%)	0.0%
Memory size	20.2 MiB

Quantile statistics

Minimum	200
5-th percentile	201
Q1	201
median	201
Q3	201
95-th percentile	241
Maximum	406
Range	206
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	21.24599285
Coefficient of variation (CV)	0.1020055546
Kurtosis	39.42717498
Mean	208.2827052
Median Absolute Deviation (MAD)	0
Skewness	5.26517742
Sum	552336783
Variance	451.3922124
Monotocity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
201	2215577	83.5%
241	272196	10.3%
245	50124	1.9%
229	22863	0.9%
203	18010	0.7%
222	13323	0.5%
244	12982	0.5%
406	12652	0.5%
246	8751	0.3%
343	7890	0.3%
Other values (11)	17493	0.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
200	66	< 0.1%
201	2215577	83.5%
202	6417	0.2%
203	18010	0.7%
206	1365	0.1%

Value	Count	Frequency (%)
406	12652	0.5%
351	6	< 0.1%
343	7890	0.3%
341	657	< 0.1%
339	1003	< 0.1%

Severity
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	20.2 MiB

2	1754544
3	886933
4	9269
1	1115

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2651861
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	2
3rd row	2
4th row	3
5th row	2

Value	Count	Frequency (%)
2	1754544	66.2%
3	886933	33.4%
4	9269	0.3%
1	1115	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
2	1754544	66.2%
3	886933	33.4%
4	9269	0.3%
1	1115	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
2	1754544	66.2%
3	886933	33.4%
4	9269	0.3%
1	1115	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2651861	100.0%

Most frequent character per category

Value	Count	Frequency (%)
2	1754544	66.2%
3	886933	33.4%
4	9269	0.3%
1	1115	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	2651861	100.0%

Most frequent character per script

Value	Count	Frequency (%)
2	1754544	66.2%
3	886933	33.4%
4	9269	0.3%
1	1115	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2651861	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	1754544	66.2%
3	886933	33.4%
4	9269	0.3%
1	1115	< 0.1%

Start_Time
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	2582957
Distinct (%)	97.4%
Missing	0
Missing (%)	0.0%
Memory size	20.2 MiB

2018-11-25 01:22:49	53
2018-11-12 00:37:27	40
2018-12-18 07:11:45	37
2016-04-10 08:59:26	35
2017-09-09 09:03:14	23
Other values (2582952)	2651673

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	50385359
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2521389 ?
Unique (%)	95.1%

Sample

1st row	2016-02-08 05:46:00
2nd row	2016-02-08 06:07:59
3rd row	2016-02-08 06:49:27
4th row	2016-02-08 07:23:34
5th row	2016-02-08 07:39:07

Value	Count	Frequency (%)
2018-11-25 01:22:49	53	< 0.1%
2018-11-12 00:37:27	40	< 0.1%
2018-12-18 07:11:45	37	< 0.1%
2016-04-10 08:59:26	35	< 0.1%
2017-09-09 09:03:14	23	< 0.1%
2017-09-06 15:52:36	22	< 0.1%
2019-12-17 06:32:11	22	< 0.1%
2016-06-12 10:07:37	22	< 0.1%
2016-05-21 08:30:42	21	< 0.1%
2016-05-22 07:37:28	21	< 0.1%
Other values (2582947)	2651565	> 99.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
2018-11-06	3400	0.1%
2018-11-09	3340	0.1%
2018-11-05	3156	0.1%
2017-09-15	3154	0.1%
2018-11-02	3089	0.1%
2018-10-26	3074	0.1%
2018-10-19	3066	0.1%
2018-10-18	3036	0.1%
2019-11-15	3035	0.1%
2017-09-29	3016	0.1%
Other values (87589)	5272356	99.4%

Most occurring characters

Value	Count	Frequency (%)
0	8958109	17.8%
1	7689838	15.3%
2	6412535	12.7%
-	5303722	10.5%
:	5303722	10.5%
	2651861	5.3%
8	2185072	4.3%
3	2145848	4.3%
5	2101887	4.2%
4	2048449	4.1%
Other values (3)	5584316	11.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	37126054	73.7%
Dash Punctuation	5303722	10.5%
Other Punctuation	5303722	10.5%
Space Separator	2651861	5.3%

Most frequent character per category

Value	Count	Frequency (%)
0	8958109	24.1%
1	7689838	20.7%
2	6412535	17.3%
8	2185072	5.9%
3	2145848	5.8%
5	2101887	5.7%
4	2048449	5.5%
7	1998891	5.4%
9	1966592	5.3%
6	1618833	4.4%

Value	Count	Frequency (%)
-	5303722	100.0%

Value	Count	Frequency (%)
	2651861	100.0%

Value	Count	Frequency (%)
:	5303722	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	50385359	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	8958109	17.8%
1	7689838	15.3%
2	6412535	12.7%
-	5303722	10.5%
:	5303722	10.5%
	2651861	5.3%
8	2185072	4.3%
3	2145848	4.3%
5	2101887	4.2%
4	2048449	4.1%
Other values (3)	5584316	11.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50385359	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	8958109	17.8%
1	7689838	15.3%
2	6412535	12.7%
-	5303722	10.5%
:	5303722	10.5%
	2651861	5.3%
8	2185072	4.3%
3	2145848	4.3%
5	2101887	4.2%
4	2048449	4.1%
Other values (3)	5584316	11.1%

End_Time
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	2578441
Distinct (%)	97.2%
Missing	0
Missing (%)	0.0%
Memory size	20.2 MiB

2018-11-25 02:51:02	46
2018-12-18 08:11:10	37
2016-10-14 19:50:00	24
2018-09-16 13:51:54	22
2017-09-07 05:22:04	21
Other values (2578436)	2651711

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	50385359
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2511388 ?
Unique (%)	94.7%

Sample

1st row	2016-02-08 11:00:00
2nd row	2016-02-08 06:37:59
3rd row	2016-02-08 07:19:27
4th row	2016-02-08 07:53:34
5th row	2016-02-08 08:09:07

Value	Count	Frequency (%)
2018-11-25 02:51:02	46	< 0.1%
2018-12-18 08:11:10	37	< 0.1%
2016-10-14 19:50:00	24	< 0.1%
2018-09-16 13:51:54	22	< 0.1%
2017-09-07 05:22:04	21	< 0.1%
2018-03-28 09:35:05	21	< 0.1%
2020-04-10 20:21:52	21	< 0.1%
2016-10-14 16:30:00	18	< 0.1%
2016-10-14 18:30:00	16	< 0.1%
2019-04-05 07:52:58	16	< 0.1%
Other values (2578431)	2651619	> 99.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
2018-11-06	3401	0.1%
2018-11-09	3350	0.1%
2018-11-05	3145	0.1%
2017-09-15	3132	0.1%
2018-11-02	3082	0.1%
2018-10-26	3079	0.1%
2018-10-19	3059	0.1%
2018-10-18	3042	0.1%
2019-11-15	3039	0.1%
2019-11-22	3028	0.1%
Other values (87546)	5272365	99.4%

Most occurring characters

Value	Count	Frequency (%)
0	9100940	18.1%
1	7751081	15.4%
2	6538682	13.0%
-	5303722	10.5%
:	5303722	10.5%
	2651861	5.3%
8	2206844	4.4%
3	2113947	4.2%
9	2079685	4.1%
5	1994678	4.0%
Other values (3)	5340197	10.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	37126054	73.7%
Dash Punctuation	5303722	10.5%
Other Punctuation	5303722	10.5%
Space Separator	2651861	5.3%

Most frequent character per category

Value	Count	Frequency (%)
0	9100940	24.5%
1	7751081	20.9%
2	6538682	17.6%
8	2206844	5.9%
3	2113947	5.7%
9	2079685	5.6%
5	1994678	5.4%
4	1949696	5.3%
7	1887334	5.1%
6	1503167	4.0%

Value	Count	Frequency (%)
-	5303722	100.0%

Value	Count	Frequency (%)
	2651861	100.0%

Value	Count	Frequency (%)
:	5303722	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	50385359	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	9100940	18.1%
1	7751081	15.4%
2	6538682	13.0%
-	5303722	10.5%
:	5303722	10.5%
	2651861	5.3%
8	2206844	4.4%
3	2113947	4.2%
9	2079685	4.1%
5	1994678	4.0%
Other values (3)	5340197	10.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50385359	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	9100940	18.1%
1	7751081	15.4%
2	6538682	13.0%
-	5303722	10.5%
:	5303722	10.5%
	2651861	5.3%
8	2206844	4.4%
3	2113947	4.2%
9	2079685	4.1%
5	1994678	4.0%
Other values (3)	5340197	10.6%

Start_Lat
Real number (ℝ_≥0)

Distinct	827046
Distinct (%)	31.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	36.10331858
Minimum	24.555269
Maximum	49.002201
Zeros	0
Zeros (%)	0.0%
Memory size	20.2 MiB

Quantile statistics

Minimum	24.555269
5-th percentile	28.304241
Q1	33.148983
median	35.391338
Q3	39.98476
95-th percentile	43.181423
Maximum	49.002201
Range	24.446932
Interquartile range (IQR)	6.835777

Descriptive statistics

Standard deviation	4.839869987
Coefficient of variation (CV)	0.1340560972
Kurtosis	-0.5485835472
Mean	36.10331858
Median Absolute Deviation (MAD)	3.571625
Skewness	0.08573729209
Sum	95740982.52
Variance	23.42434149
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
33.941364	539	< 0.1%
42.476501	534	< 0.1%
33.744976	530	< 0.1%
37.808498	505	< 0.1%
34.858925	493	< 0.1%
33.876289	434	< 0.1%
42.368423	433	< 0.1%
33.781532	432	< 0.1%
25.789072	429	< 0.1%
40.850067	415	< 0.1%
Other values (827036)	2647117	99.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
24.555269	1	< 0.1%
24.5574	1	< 0.1%
24.55987	1	< 0.1%
24.560246	1	< 0.1%
24.560688	1	< 0.1%

Value	Count	Frequency (%)
49.002201	1	< 0.1%
49.000759	1	< 0.1%
48.999901	1	< 0.1%
48.999569	1	< 0.1%
48.998241	4	< 0.1%

Start_Lng
Real number (ℝ)

Distinct	789293
Distinct (%)	29.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	-93.3411788
Minimum	-124.623833
Maximum	-67.839745
Zeros	0
Zeros (%)	0.0%
Memory size	20.2 MiB

Quantile statistics

Minimum	-124.623833
5-th percentile	-122.079926
Q1	-105.962898
median	-87.462791
Q3	-80.821632
95-th percentile	-73.884247
Maximum	-67.839745
Range	56.784088
Interquartile range (IQR)	25.141266

Descriptive statistics

Standard deviation	16.23687298
Coefficient of variation (CV)	-0.173951874
Kurtosis	-1.007185342
Mean	-93.3411788
Median Absolute Deviation (MAD)	9.255227
Skewness	-0.6380036073
Sum	-247527831.7
Variance	263.636044
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-118.096634	535	< 0.1%
-83.111794	534	< 0.1%
-84.390343	529	< 0.1%
-122.366852	511	< 0.1%
-82.259857	494	< 0.1%
-118.368263	472	< 0.1%
-84.390869	455	< 0.1%
-83.058128	434	< 0.1%
-80.204353	430	< 0.1%
-73.944817	419	< 0.1%
Other values (789283)	2647048	99.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-124.623833	1	< 0.1%
-124.534439	1	< 0.1%
-124.493149	1	< 0.1%
-124.484421	1	< 0.1%
-124.479179	1	< 0.1%

Value	Count	Frequency (%)
-67.839745	1	< 0.1%
-67.841858	1	< 0.1%
-68.060165	1	< 0.1%
-68.14003	1	< 0.1%
-68.380852	1	< 0.1%

Distance(mi)
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	3875
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.1986762127
Minimum	0
Maximum	441.75
Zeros	2215378
Zeros (%)	83.5%
Memory size	20.2 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0.6299999952
Maximum	441.75
Range	441.75
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.584473869
Coefficient of variation (CV)	7.9751564
Kurtosis	4880.659121
Mean	0.1986762127
Median Absolute Deviation (MAD)	0
Skewness	37.62493565
Sum	526861.7
Variance	2.510557442
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2215378	83.5%
0.01	246986	9.3%
0.009999999776	12808	0.5%
0.01999999955	5885	0.2%
0.6800000072	808	< 0.1%
0.4499999881	793	< 0.1%
0.4300000072	780	< 0.1%
0.4900000095	776	< 0.1%
0.3899999857	774	< 0.1%
0.3100000024	770	< 0.1%
Other values (3865)	166103	6.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2215378	83.5%
0.009999999776	12808	0.5%
0.01	246986	9.3%
0.01999999955	5885	0.2%
0.02	9	< 0.1%

Value	Count	Frequency (%)
441.75	1	< 0.1%
333.6300049	1	< 0.1%
254.3999939	1	< 0.1%
251.2200012	1	< 0.1%
227.2100067	1	< 0.1%

Side
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	20.2 MiB

R	2115329
L	536531
	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2651861
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	R
2nd row	L
3rd row	R
4th row	R
5th row	R

Value	Count	Frequency (%)
R	2115329	79.8%
L	536531	20.2%
	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
r	2115329	79.8%
l	536531	20.2%

Most occurring characters

Value	Count	Frequency (%)
R	2115329	79.8%
L	536531	20.2%
	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2651860	> 99.9%
Space Separator	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
R	2115329	79.8%
L	536531	20.2%

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2651860	> 99.9%
Common	1	< 0.1%

Most frequent character per script

Value	Count	Frequency (%)
R	2115329	79.8%
L	536531	20.2%

Value	Count	Frequency (%)
	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2651861	100.0%

Most frequent character per block

Value	Count	Frequency (%)
R	2115329	79.8%
L	536531	20.2%
	1	< 0.1%

State
Categorical

Distinct	49
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	20.2 MiB

CA	483157
TX	299660
FL	214170
SC	184379
NC	141834
Other values (44)	1328661

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	5303722
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	OH
2nd row	OH
3rd row	OH
4th row	OH
5th row	OH

Value	Count	Frequency (%)
CA	483157	18.2%
TX	299660	11.3%
FL	214170	8.1%
SC	184379	7.0%
NC	141834	5.3%
NY	126453	4.8%
PA	92719	3.5%
MI	77183	2.9%
VA	76361	2.9%
GA	75310	2.8%
Other values (39)	880635	33.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
ca	483157	18.2%
tx	299660	11.3%
fl	214170	8.1%
sc	184379	7.0%
nc	141834	5.3%
ny	126453	4.8%
pa	92719	3.5%
mi	77183	2.9%
va	76361	2.9%
ga	75310	2.8%
Other values (39)	880635	33.2%

Most occurring characters

Value	Count	Frequency (%)
A	997313	18.8%
C	862776	16.3%
N	490948	9.3%
T	405640	7.6%
L	391264	7.4%
X	299660	5.6%
M	234004	4.4%
F	214170	4.0%
I	203952	3.8%
S	194102	3.7%
Other values (14)	1009893	19.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	5303722	100.0%

Most frequent character per category

Value	Count	Frequency (%)
A	997313	18.8%
C	862776	16.3%
N	490948	9.3%
T	405640	7.6%
L	391264	7.4%
X	299660	5.6%
M	234004	4.4%
F	214170	4.0%
I	203952	3.8%
S	194102	3.7%
Other values (14)	1009893	19.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5303722	100.0%

Most frequent character per script

Value	Count	Frequency (%)
A	997313	18.8%
C	862776	16.3%
N	490948	9.3%
T	405640	7.6%
L	391264	7.4%
X	299660	5.6%
M	234004	4.4%
F	214170	4.0%
I	203952	3.8%
S	194102	3.7%
Other values (14)	1009893	19.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5303722	100.0%

Most frequent character per block

Value	Count	Frequency (%)
A	997313	18.8%
C	862776	16.3%
N	490948	9.3%
T	405640	7.6%
L	391264	7.4%
X	299660	5.6%
M	234004	4.4%
F	214170	4.0%
I	203952	3.8%
S	194102	3.7%
Other values (14)	1009893	19.0%

Temperature(F)
Real number (ℝ)

MISSING

Distinct	826
Distinct (%)	< 0.1%
Missing	45294
Missing (%)	1.7%
Infinite	0
Infinite (%)	0.0%

Mean	62.55807182
Minimum	-89
Maximum	203
Zeros	493
Zeros (%)	< 0.1%
Memory size	20.2 MiB

Quantile statistics

Minimum	-89
5-th percentile	29
Q1	50
median	64.9
Q3	77
95-th percentile	89.1
Maximum	203
Range	292
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	18.62876513
Coefficient of variation (CV)	0.2977835567
Kurtosis	-0.01953030608
Mean	62.55807182
Median Absolute Deviation (MAD)	12.9
Skewness	-0.5091188724
Sum	163061805.6
Variance	347.0308902
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
77	60762	2.3%
68	59117	2.2%
73	54275	2.0%
59	52197	2.0%
75	50638	1.9%
72	50297	1.9%
70	49209	1.9%
63	46801	1.8%
64	46359	1.7%
79	45831	1.7%
Other values (816)	2091081	78.9%
(Missing)	45294	1.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-89	7	< 0.1%
-77.8	10	< 0.1%
-33	1	< 0.1%
-32.8	1	< 0.1%
-29.9	1	< 0.1%

Value	Count	Frequency (%)
203	1	< 0.1%
189	1	< 0.1%
174	2	< 0.1%
167	1	< 0.1%
161.6	1	< 0.1%

Humidity(%)
Real number (ℝ_≥0)

MISSING

Distinct	100
Distinct (%)	< 0.1%
Missing	48306
Missing (%)	1.8%
Infinite	0
Infinite (%)	0.0%

Mean	66.32201279
Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Memory size	20.2 MiB

Quantile statistics

Minimum	1
5-th percentile	26
Q1	50
median	69
Q3	86
95-th percentile	97
Maximum	100
Range	99
Interquartile range (IQR)	36

Descriptive statistics

Standard deviation	22.37503884
Coefficient of variation (CV)	0.3373697194
Kurtosis	-0.679863749
Mean	66.32201279
Median Absolute Deviation (MAD)	18
Skewness	-0.4242431196
Sum	172673008
Variance	500.6423633
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	114775	4.3%
93	104841	4.0%
90	65221	2.5%
87	63477	2.4%
96	52004	2.0%
94	49241	1.9%
89	47940	1.8%
84	47352	1.8%
81	44877	1.7%
82	43964	1.7%
Other values (90)	1969863	74.3%
(Missing)	48306	1.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2	< 0.1%
2	10	< 0.1%
3	48	< 0.1%
4	515	< 0.1%
5	1064	< 0.1%

Value	Count	Frequency (%)
100	114775	4.3%
99	3939	0.1%
98	2219	0.1%
97	35367	1.3%
96	52004	2.0%

Pressure(in)
Real number (ℝ_≥0)

MISSING

Distinct	988
Distinct (%)	< 0.1%
Missing	38857
Missing (%)	1.5%
Infinite	0
Infinite (%)	0.0%

Mean	29.7739001
Minimum	0
Maximum	58.04
Zeros	1
Zeros (%)	< 0.1%
Memory size	20.2 MiB

Quantile statistics

Minimum	0
5-th percentile	28.85
Q1	29.73
median	29.95
Q3	30.09
95-th percentile	30.33
Maximum	58.04
Range	58.04
Interquartile range (IQR)	0.36

Descriptive statistics

Standard deviation	0.7501909159
Coefficient of variation (CV)	0.02519625959
Kurtosis	48.36963466
Mean	29.7739001
Median Absolute Deviation (MAD)	0.17
Skewness	-5.191468097
Sum	77799320.06
Variance	0.5627864103
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
30.01	53925	2.0%
29.96	52678	2.0%
29.99	52632	2.0%
30.04	51724	2.0%
29.94	50188	1.9%
30.06	49674	1.9%
29.91	46084	1.7%
30.03	45915	1.7%
30	45057	1.7%
30.09	45045	1.7%
Other values (978)	2120082	79.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
0.12	1	< 0.1%
0.29	2	< 0.1%
0.3	4	< 0.1%
0.39	1	< 0.1%

Value	Count	Frequency (%)
58.04	1	< 0.1%
33.04	2	< 0.1%
31.15	1	< 0.1%
31.14	1	< 0.1%
31.12	2	< 0.1%

Visibility(mi)
Real number (ℝ_≥0)

MISSING

Distinct	77
Distinct (%)	< 0.1%
Missing	53002
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%

Mean	9.100616274
Minimum	0
Maximum	140
Zeros	1133
Zeros (%)	< 0.1%
Memory size	20.2 MiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	10
median	10
Q3	10
95-th percentile	10
Maximum	140
Range	140
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.773215094
Coefficient of variation (CV)	0.3047282745
Kurtosis	76.02581646
Mean	9.100616274
Median Absolute Deviation (MAD)	0
Skewness	2.924693413
Sum	23651218.51
Variance	7.690721956
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	2064841	77.9%
7	82235	3.1%
9	71282	2.7%
8	56596	2.1%
5	52816	2.0%
6	45955	1.7%
4	42294	1.6%
3	41422	1.6%
2	34538	1.3%
1	23969	0.9%
Other values (67)	82911	3.1%
(Missing)	53002	2.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1133	< 0.1%
0.06	114	< 0.1%
0.1	996	< 0.1%
0.12	362	< 0.1%
0.19	5	< 0.1%

Value	Count	Frequency (%)
140	1	< 0.1%
111	2	< 0.1%
105	1	< 0.1%
101	1	< 0.1%
100	7	< 0.1%

Wind_Direction
Categorical

MISSING

Distinct	24
Distinct (%)	< 0.1%
Missing	40241
Missing (%)	1.5%
Memory size	20.2 MiB

Calm	285016
CALM	164998
SSW	136302
South	134871
SW	129211
Other values (19)	1761222

Length

Max length	8
Median length	3
Mean length	3.253866183
Min length	1

Characters and Unicode

Total characters	8497862
Distinct characters	22
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Calm
2nd row	Calm
3rd row	SW
4th row	SW
5th row	SW

Value	Count	Frequency (%)
Calm	285016	10.7%
CALM	164998	6.2%
SSW	136302	5.1%
South	134871	5.1%
SW	129211	4.9%
SSE	125424	4.7%
WNW	123072	4.6%
West	121874	4.6%
WSW	119376	4.5%
NW	118928	4.5%
Other values (14)	1152548	43.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
calm	450014	17.2%
ssw	136302	5.2%
south	134871	5.2%
sw	129211	4.9%
sse	125424	4.8%
wnw	123072	4.7%
west	121874	4.7%
wsw	119376	4.6%
nw	118928	4.6%
north	116153	4.4%
Other values (13)	1036395	39.7%

Most occurring characters

Value	Count	Frequency (%)
S	1175417	13.8%
W	1160207	13.7%
N	1008720	11.9%
E	894911	10.5%
a	542454	6.4%
t	451214	5.3%
C	450014	5.3%
l	374577	4.4%
m	285016	3.4%
o	251024	3.0%
Other values (12)	1904308	22.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	5411221	63.7%
Lowercase Letter	3086641	36.3%

Most frequent character per category

Value	Count	Frequency (%)
a	542454	17.6%
t	451214	14.6%
l	374577	12.1%
m	285016	9.2%
o	251024	8.1%
h	251024	8.1%
e	211435	6.9%
r	205714	6.7%
s	200190	6.5%
u	134871	4.4%
Other values (2)	179122	5.8%

Value	Count	Frequency (%)
S	1175417	21.7%
W	1160207	21.4%
N	1008720	18.6%
E	894911	16.5%
C	450014	8.3%
A	210797	3.9%
L	164998	3.0%
M	164998	3.0%
V	135360	2.5%
R	45799	0.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8497862	100.0%

Most frequent character per script

Value	Count	Frequency (%)
S	1175417	13.8%
W	1160207	13.7%
N	1008720	11.9%
E	894911	10.5%
a	542454	6.4%
t	451214	5.3%
C	450014	5.3%
l	374577	4.4%
m	285016	3.4%
o	251024	3.0%
Other values (12)	1904308	22.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8497862	100.0%

Most frequent character per block

Value	Count	Frequency (%)
S	1175417	13.8%
W	1160207	13.7%
N	1008720	11.9%
E	894911	10.5%
a	542454	6.4%
t	451214	5.3%
C	450014	5.3%
l	374577	4.4%
m	285016	3.4%
o	251024	3.0%
Other values (12)	1904308	22.4%

Wind_Speed(mph)
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	139
Distinct (%)	< 0.1%
Missing	344548
Missing (%)	13.0%
Infinite	0
Infinite (%)	0.0%

Mean	8.094265321
Minimum	0
Maximum	822.8
Zeros	164999
Zeros (%)	6.2%
Memory size	20.2 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	4.6
median	7
Q3	10.4
95-th percentile	17
Maximum	822.8
Range	822.8
Interquartile range (IQR)	5.8

Descriptive statistics

Standard deviation	5.130874422
Coefficient of variation (CV)	0.6338900714
Kurtosis	1835.324876
Mean	8.094265321
Median Absolute Deviation (MAD)	2.4
Skewness	13.54744091
Sum	18676003.6
Variance	26.32587234
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.6	168473	6.4%
5.8	166509	6.3%
0	164999	6.2%
3.5	157352	5.9%
6.9	154424	5.8%
8.1	137879	5.2%
9.2	122169	4.6%
10.4	99890	3.8%
5	98431	3.7%
6	95379	3.6%
Other values (129)	941808	35.5%
(Missing)	344548	13.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	164999	6.2%
1	72	< 0.1%
1.2	319	< 0.1%
2	156	< 0.1%
2.3	640	< 0.1%

Value	Count	Frequency (%)
822.8	5	< 0.1%
703.1	2	< 0.1%
580	2	< 0.1%
328	1	< 0.1%
255	1	< 0.1%

Precipitation(in)
Real number (ℝ_≥0)

MISSING
SKEWED
ZEROS

Distinct	256
Distinct (%)	< 0.1%
Missing	1529311
Missing (%)	57.7%
Infinite	0
Infinite (%)	0.0%

Mean	0.01595538729
Minimum	0
Maximum	25
Zeros	937421
Zeros (%)	35.3%
Memory size	20.2 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0.07
Maximum	25
Range	25
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.1849330967
Coefficient of variation (CV)	11.59063665
Kurtosis	2806.97326
Mean	0.01595538729
Median Absolute Deviation (MAD)	0
Skewness	49.31946349
Sum	17910.72
Variance	0.03420025026
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	937421	35.3%
0.01	51978	2.0%
0.02	25730	1.0%
0.03	17459	0.7%
0.04	12841	0.5%
0.05	10346	0.4%
0.06	8267	0.3%
0.07	6766	0.3%
0.08	5417	0.2%
0.09	4825	0.2%
Other values (246)	41500	1.6%
(Missing)	1529311	57.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	937421	35.3%
0.01	51978	2.0%
0.02	25730	1.0%
0.03	17459	0.7%
0.04	12841	0.5%

Value	Count	Frequency (%)
25	1	< 0.1%
10.8	1	< 0.1%
10.18	1	< 0.1%
10.16	1	< 0.1%
10.14	2	< 0.1%

Weather_Condition
Categorical

HIGH CARDINALITY
MISSING

Distinct	121
Distinct (%)	< 0.1%
Missing	52931
Missing (%)	2.0%
Memory size	20.2 MiB

Clear	618969
Fair	416145
Mostly Cloudy	370250
Overcast	290639
Partly Cloudy	257555
Other values (116)	645372

Length

Max length	35
Median length	8
Mean length	8.383881059
Min length	3

Characters and Unicode

Total characters	21789120
Distinct characters	45
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12 ?
Unique (%)	< 0.1%

Sample

1st row	Light Rain
2nd row	Light Rain
3rd row	Overcast
4th row	Mostly Cloudy
5th row	Mostly Cloudy

Value	Count	Frequency (%)
Clear	618969	23.3%
Fair	416145	15.7%
Mostly Cloudy	370250	14.0%
Overcast	290639	11.0%
Partly Cloudy	257555	9.7%
Cloudy	156239	5.9%
Scattered Clouds	155332	5.9%
Light Rain	131040	4.9%
Light Snow	34489	1.3%
Rain	30462	1.1%
Other values (111)	137810	5.2%
(Missing)	52931	2.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
cloudy	791514	21.6%
clear	618969	16.9%
fair	420668	11.5%
mostly	373102	10.2%
overcast	290639	7.9%
partly	259248	7.1%
light	187692	5.1%
rain	187642	5.1%
clouds	155332	4.2%
scattered	155332	4.2%
Other values (48)	225406	6.1%

Most occurring characters

Value	Count	Frequency (%)
l	2214651	10.2%
a	1989459	9.1%
r	1798665	8.3%
C	1565832	7.2%
y	1461871	6.7%
t	1454018	6.7%
o	1415521	6.5%
e	1315553	6.0%
d	1145018	5.3%
	1066614	4.9%
Other values (35)	6361918	29.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	17064018	78.3%
Uppercase Letter	3636457	16.7%
Space Separator	1066614	4.9%
Other Punctuation	16141	0.1%
Dash Punctuation	5890	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
l	2214651	13.0%
a	1989459	11.7%
r	1798665	10.5%
y	1461871	8.6%
t	1454018	8.5%
o	1415521	8.3%
e	1315553	7.7%
d	1145018	6.7%
u	966245	5.7%
i	849441	5.0%
Other values (14)	2453576	14.4%

Value	Count	Frequency (%)
C	1565832	43.1%
F	452954	12.5%
M	376357	10.3%
O	290639	8.0%
P	262139	7.2%
S	207848	5.7%
L	187696	5.2%
R	187642	5.2%
H	45388	1.2%
T	25013	0.7%
Other values (8)	34949	1.0%

Value	Count	Frequency (%)
	1066614	100.0%

Value	Count	Frequency (%)
/	16141	100.0%

Value	Count	Frequency (%)
-	5890	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	20700475	95.0%
Common	1088645	5.0%

Most frequent character per script

Value	Count	Frequency (%)
l	2214651	10.7%
a	1989459	9.6%
r	1798665	8.7%
C	1565832	7.6%
y	1461871	7.1%
t	1454018	7.0%
o	1415521	6.8%
e	1315553	6.4%
d	1145018	5.5%
u	966245	4.7%
Other values (32)	5373642	26.0%

Value	Count	Frequency (%)
	1066614	98.0%
/	16141	1.5%
-	5890	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21789120	100.0%

Most frequent character per block

Value	Count	Frequency (%)
l	2214651	10.2%
a	1989459	9.1%
r	1798665	8.3%
C	1565832	7.2%
y	1461871	6.7%
t	1454018	6.7%
o	1415521	6.5%
e	1315553	6.0%
d	1145018	5.3%
	1066614	4.9%
Other values (35)	6361918	29.2%

Sunrise_Sunset
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	57
Missing (%)	< 0.1%
Memory size	20.2 MiB

Day	1968278
Night	683526

Length

Max length	5
Median length	3
Mean length	3.515517738
Min length	3

Characters and Unicode

Total characters	9322464
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Night
2nd row	Night
3rd row	Night
4th row	Night
5th row	Day

Value	Count	Frequency (%)
Day	1968278	74.2%
Night	683526	25.8%
(Missing)	57	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
day	1968278	74.2%
night	683526	25.8%

Most occurring characters

Value	Count	Frequency (%)
D	1968278	21.1%
a	1968278	21.1%
y	1968278	21.1%
N	683526	7.3%
i	683526	7.3%
g	683526	7.3%
h	683526	7.3%
t	683526	7.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6670660	71.6%
Uppercase Letter	2651804	28.4%

Most frequent character per category

Value	Count	Frequency (%)
a	1968278	29.5%
y	1968278	29.5%
i	683526	10.2%
g	683526	10.2%
h	683526	10.2%
t	683526	10.2%

Value	Count	Frequency (%)
D	1968278	74.2%
N	683526	25.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9322464	100.0%

Most frequent character per script

Value	Count	Frequency (%)
D	1968278	21.1%
a	1968278	21.1%
y	1968278	21.1%
N	683526	7.3%
i	683526	7.3%
g	683526	7.3%
h	683526	7.3%
t	683526	7.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9322464	100.0%

Most frequent character per block

Value	Count	Frequency (%)
D	1968278	21.1%
a	1968278	21.1%
y	1968278	21.1%
N	683526	7.3%
i	683526	7.3%
g	683526	7.3%
h	683526	7.3%
t	683526	7.3%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	TMC	Severity	Start_Time	End_Time	Start_Lat	Start_Lng	Distance(mi)	Side	State	Temperature(F)	Humidity(%)	Pressure(in)	Visibility(mi)	Wind_Direction	Wind_Speed(mph)	Precipitation(in)	Weather_Condition	Sunrise_Sunset
0	201.0	3	2016-02-08 05:46:00	2016-02-08 11:00:00	39.865147	-84.058723	0.01	R	OH	36.9	91.0	29.68	10.0	Calm	NaN	0.02	Light Rain	Night
1	201.0	2	2016-02-08 06:07:59	2016-02-08 06:37:59	39.928059	-82.831184	0.01	L	OH	37.9	100.0	29.65	10.0	Calm	NaN	0.00	Light Rain	Night
2	201.0	2	2016-02-08 06:49:27	2016-02-08 07:19:27	39.063148	-84.032608	0.01	R	OH	36.0	100.0	29.67	10.0	SW	3.5	NaN	Overcast	Night
3	201.0	3	2016-02-08 07:23:34	2016-02-08 07:53:34	39.747753	-84.205582	0.01	R	OH	35.1	96.0	29.64	9.0	SW	4.6	NaN	Mostly Cloudy	Night
4	201.0	2	2016-02-08 07:39:07	2016-02-08 08:09:07	39.627781	-84.188354	0.01	R	OH	36.0	89.0	29.65	6.0	SW	3.5	NaN	Mostly Cloudy	Day
5	201.0	3	2016-02-08 07:44:26	2016-02-08 08:14:26	40.100590	-82.925194	0.01	R	OH	37.9	97.0	29.63	7.0	SSW	3.5	0.03	Light Rain	Day
6	201.0	2	2016-02-08 07:59:35	2016-02-08 08:29:35	39.758274	-84.230507	0.00	R	OH	34.0	100.0	29.66	7.0	WSW	3.5	NaN	Overcast	Day
7	201.0	3	2016-02-08 07:59:58	2016-02-08 08:29:58	39.770382	-84.194901	0.01	R	OH	34.0	100.0	29.66	7.0	WSW	3.5	NaN	Overcast	Day
8	201.0	2	2016-02-08 08:00:40	2016-02-08 08:30:40	39.778061	-84.172005	0.00	L	OH	33.3	99.0	29.67	5.0	SW	1.2	NaN	Mostly Cloudy	Day
9	201.0	3	2016-02-08 08:10:04	2016-02-08 08:40:04	40.100590	-82.925194	0.01	R	OH	37.4	100.0	29.62	3.0	SSW	4.6	0.02	Light Rain	Day

Last rows

	TMC	Severity	Start_Time	End_Time	Start_Lat	Start_Lng	Side	State	Temperature(F)	Humidity(%)	Pressure(in)	Visibility(mi)	Wind_Direction	Wind_Speed(mph)	Precipitation(in)	Weather_Condition	Sunrise_Sunset
2651851	201.0	3	2017-08-30 17:32:09	2017-08-30 18:16:19	33.774685	-118.046837	R	CA	87.6	47.0	29.68	10.0	South	5.8	NaN	Partly Cloudy	Day
2651852	201.0	2	2017-08-30 17:31:39	2017-08-30 18:15:49	33.853939	-117.906784	R	CA	93.0	34.0	29.66	10.0	Variable	3.5	NaN	Clear	Day
2651853	201.0	2	2017-08-30 17:54:40	2017-08-30 18:39:23	34.073830	-118.233269	R	CA	88.0	40.0	29.67	10.0	Variable	4.6	NaN	Clear	Day
2651854	201.0	3	2017-08-30 18:04:19	2017-08-30 19:04:19	34.072350	-117.938385	R	CA	98.6	27.0	29.69	10.0	SSW	6.9	NaN	Partly Cloudy	Day
2651855	201.0	2	2017-08-30 18:28:48	2017-08-30 18:57:54	34.173161	-118.535988	R	CA	100.0	18.0	29.66	10.0	WNW	4.6	NaN	Clear	Day
2651856	201.0	3	2017-08-30 18:41:30	2017-08-30 19:11:07	34.495808	-118.623932	R	CA	100.0	18.0	28.85	10.0	WNW	5.0	0.0	Fair	Day
2651857	201.0	3	2017-08-30 18:59:02	2017-08-30 19:27:57	34.031322	-118.433723	R	CA	77.0	64.0	29.69	10.0	SSW	5.8	NaN	Clear	Day
2651858	201.0	3	2017-08-30 18:57:52	2017-08-30 19:26:11	34.106785	-117.369102	L	CA	102.2	16.0	29.73	6.0	SSW	5.8	NaN	Haze	Day
2651859	201.0	3	2017-08-30 19:49:01	2017-08-30 20:18:00	33.924686	-118.103981	R	CA	88.0	39.0	29.68	10.0	West	3.5	NaN	Clear	Night
2651860	201.0	2	2017-08-30 20:17:21	2017-08-30 20:47:21	33.729469	-117.397354	R	CA	89.6	40.0	29.78	10.0	South	3.5	NaN	Clear	Night

Most frequent

	TMC	Severity	Start_Time	End_Time	Start_Lat	Start_Lng	Side	State	Temperature(F)	Humidity(%)	Pressure(in)	Visibility(mi)	Wind_Direction	Wind_Speed(mph)	Precipitation(in)	Weather_Condition	Sunrise_Sunset	count
533	201.0	3	2018-09-16 13:24:13	2018-09-16 13:51:54	33.978249	-81.195084	R	SC	75.0	100.0	29.74	1.0	SE	13.8	0.01	Rain	Day	11
849	245.0	3	2020-11-12 06:28:16	2020-11-12 07:12:11	25.942879	-80.187675	R	FL	78.0	100.0	29.91	10.0	S	5.0	0.00	Partly Cloudy	Night	11
843	245.0	3	2020-03-12 22:33:35	2020-03-12 23:02:42	33.585026	-84.513145	R	GA	69.0	65.0	28.87	10.0	SSW	9.0	0.00	Partly Cloudy	Night	9
532	201.0	3	2018-09-16 13:24:12	2018-09-16 13:51:54	33.978249	-81.195084	R	SC	75.0	100.0	29.74	1.0	SE	13.8	0.01	Rain	Day	8
801	241.0	3	2019-09-16 15:09:55	2019-09-16 15:54:02	32.907650	-96.897278	R	TX	95.0	34.0	29.46	10.0	E	9.0	0.00	Partly Cloudy	Day	7
374	201.0	2	2020-08-14 07:43:26	2020-08-14 08:13:02	47.673512	-117.467613	R	WA	56.0	45.0	27.67	10.0	SE	8.0	0.00	Fair	Day	4
429	201.0	2	2020-10-27 06:54:07	2020-10-27 07:53:21	38.713409	-90.284042	R	MO	37.0	86.0	29.65	6.0	NNE	7.0	0.00	Light Rain	Night	4
658	201.0	3	2020-04-10 19:53:37	2020-04-10 20:21:52	38.843868	-94.529579	R	MO	52.0	37.0	28.75	10.0	SSE	9.0	0.00	Cloudy	Night	4
845	245.0	3	2020-06-09 09:38:20	2020-06-09 10:07:39	29.768175	-95.265442	R	TX	87.0	69.0	29.73	10.0	SSW	9.0	0.00	Fair	Day	4
166	201.0	2	2019-07-16 08:41:16	2019-07-16 09:40:58	33.414162	-82.014641	L	GA	82.0	76.0	29.97	5.0	CALM	0.0	0.00	Fair	Day	3

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows

Duplicate rows

Most frequent